Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Introduction Digital-asset markets are entering a period where execution precision, predictive accuracy, and strategy ...

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...

Artera, the developer of multimodal artificial intelligence (MMAI)-based prognostic and predictive cancer tests, today announced that three abstracts will be presented at the San Antonio Breast Cancer ...

Animal testing is costly, slow, and poorly predictive. ORIVA offers a human-relevant alternative with the potential to change that.

In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...

Direction (−1.526): Incidents in the Northbound direction tend to be shorter in duration compared to Southbound incidents.

AUSTIN, Texas and TOKYO, Nov. 27, 2025 /PRNewswire/ -- According to DataM Intelligence, the In-Silico Clinical Trials Market Size was USD 3.76 billion in 2023, increased to USD 3.95 billion in 2024, ...

Yes, the title is clickbaity and provocative, but as a CTO with many years in data, I’ve witnessed a transformation that justifies the drama. The traditional “data team” – the back-office crew ...